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Xin Wu

ACL 2026×3检索与知识可解释性智能体与工具评测与基准多模态
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一作贡献30
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合作网络9
1 一作 · 3 篇 · ACL 2026

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2026 顶会论文

3
作者位次 #4/6ACL 2026Poster· Natural Language Processing

Truth or Sophistry? L o F a: A Benchmark for LLM Robustness Against Logical Fallacies

Xudong Shen · Li Yuan · Ye Chen · Xin Wu · Yi Cai · Zhiyong Wu

摘要

While Large Language Models (LLMs) exhibit strong semantic capabilities, their resilience to manipulative linguistic patterns such as logical fallacies remains an underexplored area. Prior work has focused on the ability of LLMs to identify or classify fallacies, but their robustness against thes...

智能体与工具评测与基准检索与知识OpenReview 项目页
作者位次 #3/5ACL 2026Findings· Findings of ACL

S pec E dit: A Spectral Approach for Multi-Round Knowledge Editing

Junxian Liu · Zikun Deng · Xin Wu · Dazhen Deng · Yi Cai

摘要

Multi-round batch knowledge editing often suffers from performance degradation as edits accumulate. Focusing on the locate-then-edit paradigm, we analyze this phenomenon from a spectral perspective and identify a previously overlooked structural factor: the intrinsic knowledge of the model and hi...

检索与知识可解释性OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Unlocking Human-Like Visible Logic: How Logic Diagrams Boost Logic Reasoning in Large Language Models?

Xin Wu · Yuqi Bu · Mengchen Zhao · Qingbao Huang · Yi Cai

摘要

Recent advancements in large language models (LLMs) have demonstrated their remarkable capabilities in natural language understanding and generation. However, these models still struggle with formal logical reasoning, often producing coherent yet invalid conclusions due to limitations in represen...

多模态推理可解释性OpenReview 项目页

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